PECB Certified Lead AI Risk Manager · Manager
PECB Certified Lead AI Risk Manager
Become acquainted with best practices for AI risk management aligned with recognised frameworks and standards, and validate your ability to identify, assess and mitigate AI-related risk.
- Self-Paced
Why AI risk management needs its own approach
Artificial intelligence introduces risks that traditional risk frameworks were not built to catch: bias in training data, security threats specific to model behaviour, and transparency obligations that don't map cleanly onto existing IT risk categories. This course builds on general risk management practice rather than starting from scratch.
What you take away
By the end you should be able to identify, assess and mitigate AI-related risk in a way that satisfies both internal governance and the regulatory frameworks now converging on AI use.
What you will learn
- Identify AI-specific risks, including bias, security and transparency concerns
- Assess AI-related risk using recognised risk management frameworks
- Design and implement AI risk mitigation measures
- Align AI risk management with regulatory compliance requirements
- Report AI risk posture to executives and boards
Course content
1. AI risk management fundamentals
Concepts, terminology and how AI risk differs from traditional IT risk.
2. Identifying AI-specific risk
Bias, security threats, transparency gaps and regulatory exposure.
3. Risk assessment and treatment
Applying recognised risk management frameworks to AI systems.
4. Mitigation and controls
Designing and implementing controls proportionate to AI risk.
5. Reporting and governance
Communicating AI risk posture to executives, boards and regulators.
Exam and certification
Written exam delivered online through PECB Exams.
Your fee includes your first exam attempt and one free retake within 12 months. After passing, you can apply for the relevant PECB credential.
